Short-term Hydrothermal Generation Scheduling Using Evolutionary Computing Technique

Rahimullah, Bibi Norasiqin Sheikh; Rahman, Titik Khawa Abdul

doi:10.1109/scored.2006.4339342

Cited by 3 publications

(2 citation statements)

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“…Valve point loading of thermal units was considered. References [147] and [148] presented the implementation of the hybrid evolutionary algorithm on NCSTHTS problem and the comparison was given with previous implementations of other algorithms on the same problem. high convergence rate was promised by evolutionary algorithms as compared to the other algorithms.…”

Section: Evolutionary Programming Algorithms Applied On Sthts Problemmentioning

confidence: 99%

“…Fast evolutionary programming [141], [160], [178] Canonical Evolutionary programming [142]- [144], [152], [176], [177] Hybrid evolutionary programming [145], [147], [148] Interactive fuzzy satisfying EP [149] Chaotic sequence-based DE [150], [164] Adaptive [168], [168] terms of enhancement of the searchability of the conventional cuckoo search algorithm. Reference [188] used a cuckoo search algorithm (CSA) for solving CSTHTS problem considering transmission line losses and valve point loading effects of thermal units.…”

Section: Evolutionary Programming Algorithmsmentioning

confidence: 99%

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Conventional and Metaheuristic Optimization Algorithms for Solving Short Term Hydrothermal Scheduling Problem: A Review

et al. 2021

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Short term hydrothermal scheduling (STHTS) is a non-linear, multi-modal and very complex constrained optimization problem which has been solved using several conventional and modern metaheuristic optimization algorithms. A number of research articles have been published addressing STHTS using different techniques. This article presents a comprehensive review of research published for solving the STHTS problem in the last four decades.INDEX TERMS Short term hydrothermal scheduling, conventional algorithms, meta-heuristic algorithms, no free lunch theorem

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Section: Evolutionary Programming Algorithms Applied On Sthts Problemmentioning

confidence: 99%